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Video Quality Guides and Tutorials

Video Quality Tutorial

This 2012 tutorial is an overview of the algorithms available in the VQM software, including guidance on which calibration options and models suit different purposes. Other topics covered are the different types of models, mapping multiple subjective datasets onto a single scale, objective video quality model validation, and the Consumer Digital Video Library.

This tutorial uses Microsoft PowerPoint® 2010 slides with audio. Start the slideshow to hear the audio. Subtitles are provided in the notes section for each page.  Microsoft provides a free PowerPoint viewer for Windows® on their website.

Description of VQM Tools

This written guide gives an overview of the VQM Software tools.

CVQM Overview

This written guide describes how to use the Command Line VQM tools.  This software does not have a manual.  Usage information is included here, and in the "readme" file. 

Spatial Information (SI) Filter

The spatial information (SI) filter is described and MATLAB® code is provided. This filter detects long edges and estimates edge angle. 

Subject Screening

A summary of subject screening techniques. MATLAB® code implementing the techniques is provided. 

McGurk Effect

This video demonstrates how the eyes and ears work together to understand speech. This is called audiovisual perception or cross-modal perception. Audio of a woman saying "ba ba ba" has been dubbed over the picture of that woman saying "da da da". Your perception of what she is saying changes as you open and close your eyes.

Subtitles are not provided, because the McGurk effect is an audiovisual effect.


Tutorials from the 1990's

1996 Video Quality Tutorial

This 1996 tutorial is an overview into early parameters developped by NTIA. Many of the features and parameters in today's VQM software are updated and improved versions of these older algorithms.

Why Develop New Metrics for Digital Video Systems

This tutorial from the late '90s explains why video quality metrics are needed.